OpenAI предлагает зарплату заметно выше рыночной, четкую роль на стыке research engineering и безопасности передового ИИ, а также сильный потенциал для карьеры.
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Передовой ИИЗарплата выше рынкаЧеткая рольСильный соцпакетРабота в офисе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Researcher, Frontier Assurance (AI): Building technical foundations for rigorous assessments of frontier AI risks with an accent on experimental design, research engineering, and collaboration with external evaluators. Focus on designing reproducible evaluations, investigating discrepancies in model and safeguard findings, and developing secure tooling for evidence collection and auditing.
Location: San Francisco, United States
Salary: $380,000–$500,000 per year, plus equity and eligible performance-related bonuses
Company
OpenAI is an AI research and deployment company focused on developing and safely deploying general-purpose artificial intelligence.
What you will do
Design technical assessments of frontier AI risks with external evaluators and internal teams, identifying safety claims, evidence requirements, assessment methods, and coverage gaps.
Support third-party assessments and embedded audits by translating research questions into experiments, analyses, and reproducible evidence.
Collaborate with external researchers by providing model and safeguard access, technical documentation, data, system context, and information about configurations and limitations.
Design secure assessment environments and build tooling for auditing, evaluation workflows, evidence collection, and tracking model or safeguard changes.
Run experiments on behalf of evaluators when direct access is constrained, reproduce external findings, investigate discrepancies, and test proposed mitigations.
Document methods, findings, limitations, and uncertainty for evaluators and internal decision-makers.
Requirements
Strong software engineering skills and experience building research tools, evaluation infrastructure, or systems for analyzing complex data.
Practical experience with modern machine learning systems, including experiment design, evaluation execution, and result interpretation.
Ability to navigate unfamiliar codebases and infrastructure, debug across system boundaries, and turn ambiguous research requests into reliable technical implementations.
Sound judgment in experimental design and measurement, including identifying confounders, limitations, and gaps in evidence.
Ability and interest in working closely with researchers, explaining technical systems, and helping investigate difficult questions.
Commitment to independent scrutiny and rigorous assessments that challenge internal assumptions.
Understanding of, or strong interest in, frontier AI risks, alignment, and safeguard evaluation.
Nice to have
Experience with AI safety evaluations, adversarial testing, security research, or technical auditing.
Culture & Benefits
Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
401(k) retirement plan with employer match, flexible or accrued paid time off depending on exemption status, paid holidays, and paid company office closures.
Paid parental, medical, caregiver, sick, and safe leave.
Mental health and wellness support, employer-paid life and disability coverage, and an annual learning and development stipend.
Daily office meals, eligible meal delivery credits, relocation support for eligible employees, and additional taxable fringe benefits.
Work focused on independent evaluation, public transparency, and improving the safety of advanced AI systems.
Hiring process
More detailed benefits information is provided during the hiring process.
Background checks are administered in accordance with applicable law.
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